剧目
探索性因素分析
项目反应理论
比例(比率)
项目分析
验证性因素分析
数学教育
可靠性(半导体)
心理学
计算机科学
结构效度
构造(python库)
结构方程建模
心理测量学
程序设计语言
发展心理学
功率(物理)
物理
机器学习
量子力学
声学
作者
Jinyan Huang,Tiantian Shu,Yaxin Dong,Danni Zhu
标识
DOI:10.1016/j.asw.2023.100716
摘要
Using item response theory (IRT) and exploratory and confirmatory factor analysis (EFA and CFA) approaches, this study constructed and validated a scale for Chinese college English-major students to self-assess their feedback knowledge repertoire in English-as-a-foreign-language (EFL) academic writing. It included two sub-studies: Study 1 – scale construction and Study 2 – scale validation. Study 1 was conducted within the IRT framework, which included the following six major steps: a) the preparation of item specifications following Yu and Liu’s (2021) conceptual framework; b) the preparation of the scale item pool; c) the field testing of scale items with Chinese college English-major students; d) the EFA analysis (to explore the factorial structure); e) the calculation of item function values; and f) the selection of items for the final scale. Study 2 was conducted within the IRT, EFA, and CFA frameworks, which included the following five major steps: a) the expert evaluation of the item appropriateness for construct interpretations of the final scale items (validity); b) the administration of the final scale to Chinese college English-major students; c) the EFA and CFA analyses (validity), d) the calculation of alpha coefficients (reliability), and e) the calculation of item, scale, and subscale information function values (reliability). The final 40-item scale was validated to have sound psychometric qualities for measuring Chinese English-major students’ feedback knowledge repertoire in EFL academic writing. Implications for EFL and English L1 researchers, and Chinese EFL teachers and their graduate students are discussed.
科研通智能强力驱动
Strongly Powered by AbleSci AI